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A practical implementation lab for clinicians
Build low-risk workflows that save time, strengthen learning, and improve how you organize information. Learn a clear method for deciding when AI can move quickly and when institutional review belongs in the room.
A transparent exchange
The free toolkit is useful on its own. The follow-up emails show you how the paid course goes deeper, and you decide whether it fits.
Double opt-in keeps the list clean. Your subscription is active only after you click Kit's confirmation button.
Download the Workflow Pack, the Implementation Map, and the checklist. Save them locally or print them for quick reference.
Review the course preview and launch information. Every email includes an unsubscribe link.
The paid course
This is a self-paced implementation course for physicians who want to use AI now without outsourcing their professional judgment.
Build technical literacy across AI, machine learning, language models, and specialized medical tools without a math-heavy detour.
Use data, audience, and autonomy to decide whether a workflow is a fast-moving go zone or needs formal review.
Apply AI to productivity, learning, research, and teaching materials with source verification and clear review steps.
Ask sharper questions about PHI, BAAs, security posture, governance, and clinical decision support.
Your capstone
The course ends with a practical operating document rather than a passive certificate.
Try the core framework
This simplified demo shows the reasoning pattern taught in the full AI Use-Case Risk Matrix. It is educational only and does not grant institutional approval.
Course roadmap
The full roadmap contains 16 modules. Founding enrollment will open only when the initial value spine is ready to deliver.
Your free starter kit
The kit gives you the course's core workflows, its classification framework, and its safety posture in a compact format.
A booklet of twelve physician workflows and their respective AI use cases.
A six-tier map based on data, output recipient, and degree of autonomy.
A pre-flight, in-session, and stop-rule checklist for professional AI use.
Already signed up above? You are set. This is the same list and the same three downloads.
Planned founding offers
Enrollment is not open. Registering interest helps determine build priority and does not reserve a paid seat or charge you.
For the AI-curious physician who wants the foundations and core framework.
For physicians who want the full curriculum, asset library, and capstone.
For serious implementers who want individual feedback.
Recorded individual workflow audit, personalized roadmap, or team access with a private workshop and policy walkthrough. By application.
Safety-critical material is never reserved for a higher support tier. HIPAA, PHI, the Risk Matrix, and scope-creep content remain in the main paid course.
Physician-ledYour instructor
Physician and AI-in-medicine graduate student
I built this course because physicians are being asked to evaluate AI tools while most available education sits at one of two extremes: vendor optimism or blanket caution. Neither is enough for the decisions that show up during a normal workday.
My focus is translating between clinical workflow, AI tools, and responsible implementation. The goal is to help you become a confident, skeptical user who can supervise these systems and lead a better conversation in your group.
Quinn Caslow is a U.S. Navy physician. This course is a personal educational project. Views are his own and do not represent the U.S. Navy, Department of Defense, any employer, or any government agency. No affiliation or endorsement is implied.
Questions before you sign up
Start with the free tools
Get the three-resource starter kit, the course preview, and the founding launch details. Already signed up above? You are set.